24/7 retailer outsmarts downtime in real-time

IoT agents and AI / machine-learning algorithms for real-time view of store health

United States
Data & ML

Picture this … you’re the world’s largest convenience store chain, consistently ranked as one of the top franchises in the world.

Open 24 hours a day, your easily recognizable stores meet people whenever, wherever, with an innovation-forward approach to convenience.

But, manual software maintenance is throwing a wrench in store operations.

For example, when a key service is down — if the store associate even notices it’s down to begin with —your associates are forced to do things manually while they contact support and wait for someone to investigate remotely, which just slows everything down.

So, you turn to SOUTHWORKS.

Using IoT agents and AI/machine-learning algorithms, we give you a real-time view into the health of your stores’ services. You get a heads up when a service is unhealthy, but can also automatically respond to events remotely (without even needing to contact support). Not only does resolution happen sooner, but you also get more accurate information about what’s going on in your stores.

Now, you’ve reduced your reaction and resolution time, and your 24/7 stores are running smoothly around the clock.

Soon you’ll be rolling out more machine-learning features, including the ability to identify patterns, prevent downtime, and detect causes of unexpected scenarios in the future. That’s what happens when you make everything right.

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